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+/* SPDX-License-Identifier: BSD-2-Clause */
+/*
+ * Copyright (C) 2019, Raspberry Pi Ltd
+ * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com>
+ *
+ * Helper class that implements lux estimation
+ */
+#include "lux.h"
+
+#include <algorithm>
+#include <chrono>
+
+#include <libcamera/base/log.h>
+
+#include "libcamera/internal/yaml_parser.h"
+
+#include "histogram.h"
+
+/**
+ * \file lux.h
+ * \brief Helper class that implements lux estimation
+ *
+ * Estimating the lux level of an image is a common operation that can for
+ * instance be used to adjust the target Y value in AGC or for Bayesian AWB
+ * estimation.
+ */
+
+namespace libcamera {
+
+using namespace std::literals::chrono_literals;
+
+LOG_DEFINE_CATEGORY(Lux)
+
+namespace ipa {
+
+/**
+ * \class Lux
+ * \brief Class that implements lux estimation
+ *
+ * IPAs that wish to use lux estimation should create a Lux algorithm module
+ * that lightly wraps this module by providing the platform-specific luminance
+ * histogram. The Lux entry in the tuning file must then precede the algorithms
+ * that depend on the estimated lux value.
+ */
+
+/**
+ * \var Lux::binSize_
+ * \brief The maximum count of each bin
+ */
+
+/**
+ * \var Lux::referenceExposureTime_
+ * \brief The exposure time of the reference image, in microseconds
+ */
+
+/**
+ * \var Lux::referenceAnalogueGain_
+ * \brief The analogue gain of the reference image
+ */
+
+/**
+ * \var Lux::referenceDigitalGain_
+ * \brief The analogue gain of the reference image
+ */
+
+/**
+ * \var Lux::referenceY_
+ * \brief The measured luminance of the reference image, out of the bin size
+ *
+ * \sa binSize_
+ */
+
+/**
+ * \var Lux::referenceLux_
+ * \brief The estimated lux level of the reference image
+ */
+
+/**
+ * \brief Construct the Lux helper module
+ * \param[in] binSize The maximum count of each bin
+ */
+Lux::Lux(unsigned int binSize)
+ : binSize_(binSize)
+{
+}
+
+/**
+ * \brief Parse tuning data
+ * \param[in] tuningData The YamlObject representing the tuning data
+ *
+ * This function parses yaml tuning data for the common Lux module. It requires
+ * reference exposure time, analogue gain, digital gain, and lux values.
+ *
+ * \code{.unparsed}
+ * algorithms:
+ * - Lux:
+ * referenceExposureTime: 10000
+ * referenceAnalogueGain: 4.0
+ * referenceDigitalGain: 1.0
+ * referenceY: 12000
+ * referenceLux: 1000
+ * \endcode
+ *
+ * \return 0 on success or a negative error code
+ */
+int Lux::parseTuningData(const YamlObject &tuningData)
+{
+ auto value = tuningData["referenceExposureTime"].get<double>();
+ if (!value) {
+ LOG(Lux, Error) << "Missing tuning parameter: "
+ << "'referenceExposureTime'";
+ return -EINVAL;
+ }
+ referenceExposureTime_ = *value * 1.0us;
+
+ value = tuningData["referenceAnalogueGain"].get<double>();
+ if (!value) {
+ LOG(Lux, Error) << "Missing tuning parameter: "
+ << "'referenceAnalogueGain'";
+ return -EINVAL;
+ }
+ referenceAnalogueGain_ = *value;
+
+ value = tuningData["referenceDigitalGain"].get<double>();
+ if (!value) {
+ LOG(Lux, Error) << "Missing tuning parameter: "
+ << "'referenceDigitalGain'";
+ return -EINVAL;
+ }
+ referenceDigitalGain_ = *value;
+
+ value = tuningData["referenceY"].get<double>();
+ if (!value) {
+ LOG(Lux, Error) << "Missing tuning parameter: "
+ << "'referenceY'";
+ return -EINVAL;
+ }
+ referenceY_ = *value;
+
+ value = tuningData["referenceLux"].get<double>();
+ if (!value) {
+ LOG(Lux, Error) << "Missing tuning parameter: "
+ << "'referenceLux'";
+ return -EINVAL;
+ }
+ referenceLux_ = *value;
+
+ return 0;
+}
+
+/**
+ * \brief Estimate lux given runtime values
+ * \param[in] exposureTime Exposure time applied to the frame
+ * \param[in] aGain Analogue gain applied to the frame
+ * \param[in] dGain Digital gain applied to the frame
+ * \param[in] yHist Histogram from the ISP statistics
+ *
+ * Estimate the lux given the exposure time, gain, and histogram.
+ *
+ * \return Estimated lux value
+ */
+double Lux::estimateLux(utils::Duration exposureTime,
+ double aGain, double dGain,
+ const Histogram &yHist) const
+{
+ double currentY = yHist.interQuantileMean(0, 1);
+ double exposureTimeRatio = referenceExposureTime_ / exposureTime;
+ double aGainRatio = referenceAnalogueGain_ / aGain;
+ double dGainRatio = referenceDigitalGain_ / dGain;
+ double yRatio = currentY * (binSize_ / yHist.bins()) / referenceY_;
+
+ double estimatedLux = exposureTimeRatio * aGainRatio * dGainRatio *
+ yRatio * referenceLux_;
+
+ LOG(Lux, Debug) << "Estimated lux " << estimatedLux;
+ return estimatedLux;
+}
+
+} /* namespace ipa */
+
+} /* namespace libcamera */